4 часа назад
Applied AI Engineer (LLM)
230 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Engineer (LLM): Building Dossbot, AI-assisted schema and workflow tooling, and agentic automations for live procurement, inventory, finance, and operations data with an accent on RAG, foundation model orchestration, guardrails, and multi-tenant reliability. Focus on designing production eval and observability infrastructure, securing permission-aware actions, and operating non-deterministic AI systems against business-critical data.
Location: On-site in San Francisco, United States
Salary: $230,000–$260,000 annual base salary plus equity
Company
is an AI-native platform for physical product businesses that manages procurement, inventory, orders, fulfillment, finance, and operational data in real time.
What you will do
- Own the end-to-end applied AI architecture, including model selection, orchestration, RAG, evaluations, guardrails, and production cost and latency budgets.
- Build bot as a natural-language interface for searching, analyzing, and automating operations using live supply-chain, finance, and business data.
- Develop AI-assisted tools that propose, validate, and apply customer schemas and workflow definitions in production environments.
- Design permission-aware, auditable, tenant-isolated agentic workflows that can safely act within enterprise systems of record.
- Build evaluation and observability infrastructure to measure quality, detect regressions, and identify risky emergent behavior.
- Partner with product, design, and the Forward Deployed team while mentoring engineers and shaping applied AI practices.
Requirements
- Experience shipping and operating LLM-powered features or agents in production at scale.
- Hands-on experience with foundation model APIs, RAG pipelines, tool use or function calling, prompt and context engineering, and selective fine-tuning.
- Experience building evaluation harnesses and guardrails for non-deterministic systems handling business-critical data.
- Strong backend fundamentals, including system design, Postgres, cloud services, reliable web applications, and multi-tenant architecture.
- Ability to work from zero to one in ambiguous settings and determine when AI is an appropriate solution.
- Availability for an in-office role in San Francisco is required.
Culture & Benefits
- In-office culture in San Francisco with lunch provided five days per week and dinner when needed.
- Competitive salary, meaningful equity, and immediate eligibility for a 401(k).
- Medical, dental, and vision coverage with premiums fully covered for individuals.
- Flexible or unlimited PTO, generous parental leave, and commuter and equipment stipends.
- Wellness and fitness stipend.
- Relocation assistance is available.
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